{"id":"W2097308479","doi":"10.1002/meet.2009.1450460119","title":"Media Informatics: Theory, methods, and tools","year":2009,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Informatics; Social media; Digital media; Engineering informatics; Data science; New media; Multimedia; World Wide Web; Health informatics; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01933102,0.001232775,0.001291197,0.01327634,0.003633731,0.02600123,0.003620038,0.004584125,0.01316038],"category_scores_gemma":[0.02720794,0.001174519,0.001127141,0.009432021,0.02703777,0.0198826,0.00751212,0.006240377,0.003505783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005143894,"about_ca_system_score_gemma":0.006936559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820297,"about_ca_topic_score_gemma":0.001042341,"domain_scores_codex":[0.9847571,0.01052841,0.0008573011,0.0009610212,0.002537322,0.0003588643],"domain_scores_gemma":[0.9578342,0.03505074,0.0008660686,0.002779299,0.002462851,0.00100682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009398615,0.00005059269,0.0004055337,0.000557923,0.00001398145,0.00006207678,0.001818907,0.0004814275,0.000126523,0.919401,0.01027386,0.06679867],"study_design_scores_gemma":[0.00001475455,0.00001985116,0.0004982643,0.002888306,0.00001673034,0.0001663693,0.003020579,0.004376734,0.0004792492,0.7414986,0.2469755,0.00004513154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003544506,0.04383141,0.6773204,0.04767286,0.002047715,0.001166356,0.0004166882,0.002065773,0.2219342],"genre_scores_gemma":[0.1572124,0.0785768,0.7124258,0.006148367,0.005191882,0.005921893,0.0007690965,0.0009769498,0.03277697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02600123,"threshold_uncertainty_score":0.1022335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473636007719308,"score_gpt":0.3596529095956585,"score_spread":0.3349165495184654,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}